High post-harvest losses, significant greenhouse gas emissions, and system inefficiencies in conventional refrigeration and monitoring systems all provide major problems for the worldwide cold chain for perishable items. This chapter looks at how Artificial Intelligence (AI), Internet of Things (IoT) sensors, digital twins, blockchain, and edge computing are changing sustainable food delivery by themselves and in combination. It discusses restrictions of conventional cold chains, such isolated data, reactive decision-making, and regional differences in losses, and describes sophisticated technical designs such layered IoT networks, AI-driven anomaly detection, predictive analytics, and self-optimizing digital twins. Real-world uses by companies including Maersk and Walmart together with benefits for SMEs in developing nations prove these advances. It examines the significant challenges like high costs, interoperability issues, cybersecurity threats, and skill shortages and offers solutions using open standards, legislation incentives, phased implementation, and ethical guidelines.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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